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STST-JEPA: Shallow-Target Spatio-Temporal Joint Embedding Prediction Architecture For EEG Self-Supervised Learning

arXiv cs.LG · 19h ago Cached

Introduces STST-JEPA, a self-supervised transformer for EEG that predicts masked-token representations, pretrained on 47,703 sessions for brain age regression across ages 5–81.

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